连续性
社会化媒体
独创性
情感(语言学)
结构方程建模
用户满意度
质量(理念)
范围(计算机科学)
计算机科学
信息质量
心理学
大学图书馆
信息系统
可用性
万维网
知识管理
社会心理学
政治学
图书馆学
人机交互
哲学
沟通
认识论
机器学习
创造力
法学
程序设计语言
作者
Yuan Meng,Hongwei Lin,Weijing Gong,Rui Guan,Li Dong
出处
期刊:The Electronic Library
[Emerald (MCB UP)]
日期:2023-11-15
卷期号:42 (1): 136-157
被引量:1
标识
DOI:10.1108/el-05-2023-0115
摘要
Purpose This study aims to discover the factors which influence user satisfaction levels and their continuous use intention (CUI) of academic library social media, and then considers how to promote and improve further work on library social media to reduce user churn and increase user satisfaction. Design/methodology/approach An updated DeLone and McLean information systems success (D&M ISS) model and the expectation confirmation model for information systems continuance (ECM-ISC) with new variables of emotions are used to examine the factors which influence user satisfaction levels and CUI of academic library social media through 445 questionnaires. Partial least squares structural equation modelling was used to analyse the data and presented in tables. Findings The results show that information quality, system quality and emotions affect user satisfaction and CUI, and reveal that emotions can affect that most obviously. Research limitations/implications The WeChat public platform is mainly used in China, so the study only focuses on Chinese academic libraries. There are still limitations on the settings of observed variables which cannot cover all the causes of users’ positive and negative emotions. In addition, although the respondents of this questionnaire can represent academic library users, 445 samples are still fairly low in contrast to the great number of academic library WeChat public platform users. Originality/value This study integrates ECM-ISC and D&M ISS models, adds positive and negative emotions as new variables, to broaden the application scope of these models, and demonstrates the applicability of these two models in the fields of researching academic library social media, expanding and deepening related theories above. This also provides practical reference for academic libraries on how to improve user satisfaction and CUI of academic library social media and academic library WeChat public platforms, promoting the development of academic library social media.
科研通智能强力驱动
Strongly Powered by AbleSci AI